Method For Building A Three Dimensional Cellular Partition Of A Geological Domain

ABSTRACT

The invention concerns a method for building a three-dimensional (3D) cellular partition covering a 3D geological domain by defining the cells of the partition, characterized in that said method comprises the following steps A “3D screen construction step” for constructing a 3D screen which is a 3D elementary partition covering the geological domain, said 3D screen being composed of a plurality of voxels (Vi) which are elementary volume elements, A “voxel painting step” for associating a cell identifier (Cell-id) to each voxel, A “cell definition step” for defining the cells of the geological domain, each cell of the geological domain being defined as the subset of voxels of the 3D screen associated to the same cell identifier, thereby allowing the definition of the cells of the geological domain without having to code the geometry and/or topology of said cells in said geological volume. The invention further provides a “parametric” method and a “cookiecutter” method using such method for building a 3D cellular partition.

FIELD OF THE INVENTION

The invention generally concerns the modelling of the behaviour of three-dimensional (3D) domains such as geological volumes.

BACKGROUND OF THE INVENTION

Geological volumes (or reservoirs) are defined as 3D domains which contain fluids (such as oil, gas and/or water).

It is specified that such geological volumes often include singular topological surfaces such as faults, horizons and/or the limits of the reservoir itself.

An “horizon” is defined as an interface between two subdomains of a geological volume—these subdomains being typically two layers made of different materials.

These singular surfaces can furthermore be irregular.

The modelling of the behaviour of geological volumes aims in particular at simulating the flow of fluids through and within the geological volume.

Such simulation is carried out by software programs which compute the behaviour of finite volumes (called “cells”), which cells form a partition of the geological volume.

This partition (also called “grid”) represents the geological volume in the “geological domain” (i.e. in the actual physical domain where the geological volume is).

Software programs such as mentioned above are referred to as “flow simulators”.

In order to run a flow simulator, it is therefore necessary to build cells which form a partition of the geological volume.

Each cell of such a partition is associated to some information which has to be memorized in the computer system which runs the flow simulator.

This information typically include for any given cell C0:

-   -   The volume of C0,     -   The permeability tensor of C0,     -   The list of the cells which are adjacent to C0,     -   For each cell C1 adjacent to C0, the parameters defining the         common face shared by C0 and C1.

Until recently, two types of known methods have been used for building 3D partitioning (or 3D “grids”) consisting of sets of adjacent cells as mentioned above.

Such 3D grids can be “structured” (as illustrated in FIG. 1) or “non-structured” (as illustrated in FIG. 2).

In both cases, it is necessary to adapt the geometry of the cells in order to run the flow simulator as efficiently as possible.

In particular, the geometry of the cells has to be defined so as to avoid undesirable effects such as having cells intersecting singular surfaces (such as mentioned above) of the geological volume.

Other constraints are associated to the definition of such cells defined in the geological domain: among others, these cells must be aligned with minimal distortion and/or size variation.

Such construction of the cells in the geological domain therefore implies constraints associated to the definition of the geometry and topology of the cells.

These constraints can make the process of building the cells very complex, in particular because the construction of the cells as mentioned above implies coding:

-   -   the geometry of the cells (in particular the geometry of the         faces of each cell), and     -   the topology of the cells (in particular information describing         the faces of the cells and information allowing the         identification of the cells adjacent to any cell).

This constitutes a drawback of such construction of the cells.

Furthermore, to be honoured, these constraints often necessitate to make approximations and/or simplifications on the geometry/topology of the singular surfaces of the geological volume.

Also, they imply that the geometry and topology of the cells has to be memorized, in association with the information mentioned above. This increases the memory space which is required in the computer system used for running the flow simulator.

Moreover, when considering a given point of the geological volume, the process of finding which cell said point is associated to typically necessitate to scan all (or a large number of) cells to find out if the point is contained in the cell. This makes the exploitation of the cell grid burdensome.

Finally, the determination of the permeability tensor of a cell can reveal quite difficult, specially in the case of a non structured grid.

It thus appears that the known methods for building cells are associated to some drawbacks and limitations.

It is to be noted that an advanced approach has been proposed recently for modelling the properties of the cells (but not for building said cells).

This approach has been described in “Space-time mathematical framework for sedimentary geology” (Mathematical Geology, Vol. 36, N^(o) 1, 2004).

This advanced approach implies the association of the geological domain with a parametric domain where singular surfaces such as faults and horizons can be managed in a simple manner.

And WO 03/050766 discloses a method for the 3D modelling of a geological volume which presents a variant which can be used in combination with the advanced approach mentioned above.

However, the method disclosed in WO 03/050766 still requires the definition of the cells in the geological domain in order to model the geological volume.

Thus, the method disclosed in WO 03/050766 does not resolve in itself the drawbacks and limitations mentioned above.

An objective of the invention is to avoid these drawbacks and limitations.

SUMMARY OF THE INVENTION

In order to reach the objective mentioned above, the invention proposes a method for building a three-dimensional (3D) cellular partition covering a 3D geological domain by defining the cells of the partition, characterized in that said method comprises the following steps:

-   -   A “3D screen construction step” for constructing a 3D screen         which is a 3D elementary partition covering the geological         domain, said 3D screen being composed of a plurality of voxels         which are elementary volume elements,     -   A “voxel painting step” for associating a cell identifier to         each voxel,     -   A “cell definition step” for defining the cells of the         geological domain, each cell of the geological domain being         defined as the subset of voxels of the 3D screen associated to         the same cell identifier,         thereby allowing the definition of the cells of the geological         domain without having to code the geometry and/or topology of         said cells in said geological volume.

Specific aspects of such method are the following:

-   -   The method further comprises associating to each voxel an         individual index information which characterizes the location of         said voxel in the 3D screen and allows the retrieving of the         voxels neighbouring said voxel in the 3D screen.

The invention further provides a “parametric” method using a method as mentioned above, characterized in that said parametric method further comprises the following steps:

-   -   Constructing three transfer functions defined from the         geological domain to a parametric domain for associating each         point in the geological domain to an image point in the         parametric domain,     -   Partitioning the parametric domain into parametric cells,     -   Associating a respective cell identifier to each parametric cell         of the parametric domain, each parametric cell being         individually associated to a respective cell identifier,     -   After the 3D screen construction step, associating to each voxel         of the 3D screen the cell identifier of the parametric cell in         the parametric domain which contains the image point of a point         contained in said voxel.

Preferred, but non limiting aspects of such parametric method include the following:

-   -   the parametric domain is a 3D domain and three transfer         functions are respectively defined from the geological domain         into one of the three respective dimensions of the parametric         domain,     -   said or one of said transfer function is defined so that the         image of each horizon of the geological domain is a plane in the         parametric domain,     -   the partitioning of the parametric domain into parametric cells         is carried out in such a way that no edge or face of a         parametric cell crosses a plane corresponding to an image of an         horizon of the geologic domain,     -   said transfer functions are built according to the GeoChron         model,     -   the building of said transfer functions implies the following         operations:         -   Covering the geological domain with a 3D mesh consisting of             adjacent polyhedra whose edges never cross the fault             surfaces of the geological domain, each of said polyhedra             being a tetrahedron or the union of adjacent tetrahedra,         -   Reserving memory slots for coordinate(s) in the parametric             domain associated to each vertex of each tetrahedron,         -   Assuming that the transfer functions are linear inside each             tetrahedron and that each transfer function is thus fully             defined within said tetrahedron by its values at the             vertices of said tetrahedron,         -   Computing the values of a given transfer function at the             vertices of said tetrahedral of the geological domain,         -   Computing the values of the transfer function(s) other than             said given transfer function (t), at the vertices of said             tetrahedral of the geological domain,     -   each of said coordinate(s) corresponds to a sampling value for a         respective transfer function at the location of a tetrahedron         vertex and the computation of the transfer function(s) is         carried out at the location of each vertex of a tetrahedron in         the parametric domain,     -   said computation of the values of said given transfer function         is made with a DSI method carried out on the basis of the values         of said given transfer function at horizons of the geological         domain, said given transfer function being assumed to have a         respective constant value on each given horizon of the         geological domain,     -   said computation of the values of said given transfer function         is made at the location of each vertex of each tetrahedron with         a DSI method carried out on the basis of the values of said         given transfer function at each horizon of the geological         domain,     -   said polyhedra are chosen as tetrahedral,     -   said computation of the values of said other transfer         function(s) is carried out through the following steps         -   Defining a reference surface in the geological domain,         -   Computing said values of each of said other transfer             function(s) through a DSI method carried out on the basis of             the values of said other transfer function at said reference             surface of the geological domain,     -   said reference surface of the geological domain is chosen as an         horizon of said geological domain,     -   said reference surface of the geological domain is chosen as an         horizon which intersects a maximum number of faults blocks of         the geological domain,     -   there are two said other transfer-functions defined on said         reference surface and said reference surface is chosen so that         on said reference surface the gradients of a first of said other         transfer function are as much orthogonal as possible to the         gradients of the second of said other transfer function and said         gradients have as much as possible constant lengths,     -   said DSI method for computing the values of a transfer function         on the basis of the values of said transfer function at the         image of a horizon surface implies the following steps:         -   Discretizing said horizon surface as a finite set of points             considered as DSI Control Points,         -   Computation of said transfer function at DSI Control Points             on said horizon surface,         -   For each DSI Control Point:             -   Identification of the tetrahedron which contains the DSI                 Control Point,             -   Formulation of a DSI constraint associated to the DSI                 Control Point, said DSI constraint corresponding to                 equating the barycentric mean of the values of said                 transfer function at the vertices of said tetrahedron to                 the known value of said transfer function at said DSI                 Control Point,     -   said DSI method for computing the values of a transfer function         further comprises applying to the values of said transfer         function at the vertices of the tetrahedra a smoothing condition         linking the values of said transfer function at the vertices of         neighbouring tetrahedra of the geological domain,     -   said smoothing condition is a condition of a minimal difference         between the value of said transfer function at a given         tetrahedron vertex location and an average value at neighbouring         tetrahedron vertices in the geological domain,     -   said smoothing condition for any pair of adjacent tetrahedra         consists in specifying that the gradients of said transfer         functions should be as equal as possible in said adjacent         tetrahedral,     -   said smoothing condition for any pair of adjacent tetrahedron         consists in specifying that the respective projections, on the         normal vector to the common face shared by said two adjacent         tetrahedra, of the gradients of said transfer functions in said         adjacent tetrahedra, should be equal,     -   the computation of said two other transfer functions is carried         out using the knowledge of the earlier computation of said given         transfer function,     -   the method further comprises specifying that within each         tetrahedron the gradient of each of said two other transfer         functions is orthogonal to the gradient of said given transfer         function,     -   within each tetrahedron the method further comprises specifying         that the gradients of said two other transfer functions are         constrained to be orthogonal between them, and the respective         lengths of said gradients of said two other transfer functions         are constrainted to be substantially equal,     -   said point contained in the voxel and whose image point is         contained in the parametric cell having a Cell-id which is         associated to the voxel is an arbitrary point of the voxel,

The invention also provides a “cookie-cutter” method using a method for building a three-dimensional cellular partition as mentioned above, said cookie-cutter method further comprising the following steps:

-   -   Associating to each geological layer of the geological domain a         respective layer identifier, each layer being individually         associated to a respective layer identifier,     -   Partitioning a reference surface of the geological domain into         polygons,     -   Associating a respective polygon identifier to each polygon used         to partition said reference surface, each polygon being         individually associated to a respective polygon identifier,     -   Defining a layer-polygon function which associates a value to         each pair formed of a Layer identifier and a Polygon identifier         in such a way that each pair is associated to a respective value         generated by said layer-polygon function and consisting of a         valid cell identifier,     -   Computing for each voxel of the geological domain a voxel value         of said layer-polygon function which is the output of said         layer-polygon function computed on the basis of:         -   the Layer identifier of the layer containing said voxel, and         -   the Polygon identifier of the polygon of said reference             surface which contains the projection of a reference point             of said voxel over said reference surface, along a             projection direction,     -   Associating to each voxel a cell identifier which is equal to         the voxel value of the layer-polygon function computed at a         reference point contained in the voxel.

Preferred, but non limiting aspects of such “cookie-cutter” method include the following:

-   -   the method comprises constructing a transfer function defined in         the geological domain for associating each in the geological         domain to a value,     -   the building of said transfer function implies the following         operations:         -   Covering the geological domain with a 3D mesh consisting of             adjacent polyhedra whose edges never cross the fault             surfaces of the geological domain, each of said polyhedra             being a tetrahedron or the union of adjacent tetrahedra,         -   Reserving memory slots for the values of said transfer             function at each vertex of each tetrahedron,         -   Assuming that the transfer function is linear inside each             tetrahedron and that said transfer function is thus fully             defined within said tetrahedron by its values at the             vertices of said tetrahedron,         -   Computing the values of said transfer function at the             vertices of all tetrahedral of the geological domain,     -   said reference surface is an horizontal plane of the geological         domain,     -   said projection direction is the vertical direction of the         geological domain,     -   said reference point of each voxel is the centre of the voxel.

It is also to be noted that preferred but non limiting aspects of the method for building a three-dimensional cellular partition as mentioned above include the following:

-   -   the voxels are defined so that the volume of each voxel is         significantly smaller than the volume of the. cell of the         geological domain which contains the voxel,     -   the ratio of the volume of each voxel to the volume of the cell         of the geological domain containing said voxel is at least 1:50,     -   said method includes a post-processing of desired voxels in         order to selectively modify the cell identifiers of said voxels         after the cell definition step,     -   said post-processing is applied to voxels primarily associated         to the cell identifier of a first cell, and being adjacent to a         border of said first cell with a second cell, and the new cell         identifier associated to said voxel is the cell identifier of         said second cell,     -   after the cell definition step the method further comprises the         retrieving of the voxels contained in a cell which also contains         a given voxel, by exploring recursively from said given voxel         through successive concentric rings all the voxels which are         associated to the same cell identifier as said given voxel,     -   after the cell definition step the method further comprises the         identification of the cells adjacent to a cell containing a         given voxel by retrieving the voxels which are associated to a         cell identifier different from the cell identifier of said cell         containing said given voxel and are also adjacent to at least         one voxel of said cell containing said given voxel,     -   after the cell definition step the method further comprises the         computation of the volume of any given cell as being equal to         the sum of the volumes of all the voxels associated to the same         cell identifier as a given voxel of said given cell,     -   the method further comprises after the cell definition step the         construction for any given pair of adjacent cells of the face         separating said two adjacent cells, said face being built as the         set of all pairs of adjacent voxels such that a first voxel of         said pair belongs to a first of said two adjacent cells and the         second voxel of said pair belongs to the second of said two         adjacent cells,     -   in association with each voxel the cell identifier associated to         the voxel is memorized,     -   in association with each voxel at least a parameter         representative of a physical property of the geological volume         corresponding to the voxel is also memorized,     -   said at least one parameter representative of a physical         property of the geological volume corresponding to the voxel is         limited to one scalar permeability parameter,     -   the method further comprises the computation of a tensor of         permeabilities for each cell, said computation being deduced         from scalar permeabilities associated to the voxels of said         cell,     -   the computation of a tensor of permeabilities of a cell is         further based on scalar permeabilities associated to some voxels         in the neighbourhood of said cell,     -   said 3D screen consists of a plurality of adjacent hexahedral         voxels aligned according to three sets of straight lines         corresponding to the three dimensions of the geological domain,     -   the lines of each set are regularly spaced and all voxels of the         3D screen are identical,     -   the method includes a specific post-processing of cells         associated to some singular geological surfaces within the         geological domain by memorizing the equations of said singular         surfaces and dividing each cell of the three-dimensional         partition which is intersected by such singular surfaces into at         least two subcells, each subcell being entirely located on a         same side of said singular surface,     -   the singular surfaces which are treated specifically include         fault surfaces of the geological volume,     -   said dividing of cells traversed by said singular surfaces         include the following steps:         -   For each traversed cell, defining subsets of voxels whose             centres are all located on a same side of said singular             surface,         -   Assigning to each such subset of voxels a new cell             identifier which is different from the cell identifiers             assigned to other cells.         -   Assigning to all voxels of each such subset of voxels a new             cell identifier equal to the cell identifier assigned to the             subset of voxels it belongs to,     -   the method includes a specific post-processing of some specific         volumes within the geological domain by defining the cells of         said specific volumes with an “indirect” method which comprises         the following steps for each of said specific volumes:         -   Reseting the Cell-id of all voxels within said volume,         -   Defining for each cell to be defined within said specific             volume a “kernel”, each kernel being composed of one or more             voxels,         -   Associating to each kernel a Cell-id which has not been             still assigned,         -   Associating to each voxel within said specific volume the             Cell-id of the kernel which is closest to said voxel,         -   Defining each cell of said specific volume as the subset of             voxels of the 3D screen associated to the same Cell-id,     -   in order to obtain a given desired geometry for an interface         between two cells which are to be defined within a said specific         volume according to said indirect method, respective kernels of         said two cells are defined as follows:         -   A kernel is defined for a first of said two cells to be             defined with at least a voxel of a first of said two cells,             said voxel being chosen so as to be bordering or close to             the desired interface,         -   For each voxel of said kernel of a first cell to be defined             (“first voxel”) and bordering or close to the desired             interface, the voxel (“symmetrical voxel”) which is             symmetrical of said first voxel with reference to the             desired interface is identified,         -   A kernel is defined for the second of said two cells to be             defined, with the symmetrical voxel(s) thus defined,     -   the kernels positions and the kernel density are defined so as         to obtain a desired general configuration for the cells of said         specific volumes,     -   said specific volume is defined by a given distance around a         well path of the geological volume and the kernels are defined         so that within said specific volume the kernel density is higher         in the vicinity of said well path,     -   specific volume is defined by a region of rapid variation of at         least one physical property and the kernels are defined so that         they are associated to a local density which is related to the         intensity of heterogeneity of said physical property.

DESCRIPTION OF THE DRAWINGS

Other aspects, goals and advantages of the invention shall be apparent from the description given hereunder in reference to the drawings on which, in addition to FIGS. 1 and 2 which have already been commented in reference to the state of the art:

FIG. 3 is a representation of a 3D cell partition built according to a “parametric” method of the invention (this figure comprising an upper part 3 a which shows only the cell partition with some singular surfaces, and a lower part 3 b which is equivalent but comprises in addition details on the cells of the partition and on some singular surfaces of the geological domain),

FIG. 4 is a representation of a mesh of tetrahedra established on a geological domain, in order to carry out the method according to the invention,

FIG. 5 is a representation of parametric cells defined in a parametric domain, for a “parametric” version of the method according to the invention,

FIG. 6 is a representation of a partition of a geological domain into polyhedric cells, obtained through a method according to the invention, this figure showing in particular elements associated to the 3D screen used to build the cells,

FIG. 7 is an enlarged view of a cell built according to the invention, with a subset of voxels associated to the same cell identifier,

FIG. 8 is an illustration of a post-processing method of the state of the art for selectively adapting the cells of an existing 3D grid of cells, in the neighbourhood of given areas of a geological domain (here, well paths).

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

General Aspects of the Invention

FIG. 3 shows a 3D cell partition built according to the invention. This cell partition covers a geological domain.

As will be explained in details in this description, the method of the invention comprises the following steps

-   -   A “3D screen construction step” for constructing a 3D screen         which is a 3D elementary partition covering the geological         domain, said 3D screen being composed of a plurality of voxels         (Vi) which are elementary volume elements,     -   A “voxel painting step” for associating a cell identifier         (Cell-id) to each voxel,     -   A “cell definition step” for defining the cells of the         geological domain, each cell of the geological domain. being         defined as the subset of voxels of the 3D screen associated to         the same cell identifier,         thereby allowing the definition of the cells of the geological         domain without having to code the geometry and/or topology of         said cells in said geological volume.

The 3D screen construction step consists in building a “3D screen” which is a partition of the geological domain to be covered by the cell partition which is to be built.

This 3D screen is a 3D partition of the geological domain which is different from the partition corresponding to the cells to be built.

The 3D screen is composed of elementary volume elements which shall be called “voxels”, and associated with the general reference V or Vi.

The voxels are the elementary volume elements from which the cells shall be built.

The 3D screen can typically be constructed as a 3D grid of adjacent hexahedral voxels aligned according to three sets of straight lines corresponding to the three dimensions (x,y,z) of the geological domain.

These straight lines can be regularly spaced so as to define a single spacing between two adjacent lines in one of the three sets of lines which correspond to the three dimensions of the geological domain. In this configuration, all voxels of the 3D screen would be identical. As an illustration, some voxels of a 3D screen are represented in the lower left part of FIG. 6.

As mentioned above, the voxels are the elementary volume elements from which the cells shall be built (i.e. a given cell of the cell partition to be built shall be composed of a plurality of voxels, as illustrated in FIG. 7). For that purpose, it is necessary that the size of the voxels be defined as significantly smaller than the size which is expected/desired for the cells.

As an illustration, for example a ratio of 1:50 between the size of a given cell of the cell partition and the size of the voxels contained within said cell is well adapted. Of course, a ration of 1:X with X>50 would also be adapted.

Each voxel Vi is associated to an individual index information (which can be noted Loc(Vi)), which characterizes the location of the voxel in the 3D screen.

This information identifies the voxel unambiguously. It is specified that the invention is to be embodied on a computation system such as a computer (personal or not), or any equivalent device equipped with processing means, display means and memory means.

Loc(Vi) can be e.g. (i,j,k) where i, j and k are indexes (or coordinates) which allow the position of the associated voxel Vi in the referential of the 3D screen to be defined.

To that end said referential is composed of the three axis (X,Y,Z) of the geological domain, each axis being associated to a respective increment DX, DY, DZ along the axis.

The indexes i, j and k thus allow to define the position of a reference point of the voxel, said reference point being noted Q and having coordinates (x,y,z) in the referential of the geological domain.

Said reference point can be defined by convention as e.g. the centre of the voxel, or one of its vertices.

Assuming that the three dimensions of the 3D screen are parallel to the three respective axis X, Y, Z of said referential and that all voxels are identical, the searched voxel shall be identified by a given line (i), column (j) and plane (k) of the 3D screen. These elements are found as follows: i=integer part of (x−x0)/DX, j=integer part of (y−y0)/DY, k=integer part of (z−z0)/DZ, with (x0,y0,z0) the coordinates in the referential of the geological domain of the origin of the 3D screen and (DX,DY,DZ) the respective dimensions of each voxel along directions X, Y, Z

It is also possible to define the individual index information by other means, e.g. by a serial number (in this case, the series along which the voxels are indexed comprises all voxels of the geological domain, arranged along a predetermined order).

After having defined the 3D screen and its voxels, a “voxel painting step” aims at associating a cell identifier (Cell-id) to each voxel.

For that purpose, two main embodiments of the invention can be used : a “parametric” method, or a “cookie-cutter” method. It is to be noted that these names have been chosen for practical purposes only, and in particular the “cookie-cutter” method does imply some parameterization as well.

The details of these two methods shall be given herebelow.

During this voxel painting step, each voxel is associated to a “cell identifier” (referred to as “Cell-id”). A given Cell-id is normally associated to several voxels.

Once the voxels of the 3D screen have been “painted” (i.e. associated each to a Cell-id), a “cell definition step” allows defining the cells of the geological domain, each cell of the geological domain being defined as the subset of voxels of the 3D screen associated to the same Cell-id.

Such method allows the definition of the cells of a partition of the geological domain, without having to code the geometry and/or topology of said cells in said geological volume.

It has been said that two main methods could be used for painting the voxels of the 3D screen.

Moreover, it is specified that these two methods (“parametric” and “cookie-cutter”) are both referred to as “direct” methods which means that they allow a direct association of a Cell-id to each voxel of the 3D screen.

As will be explained, such “direct” methods can be combined with an “indirect” method, which is a post-processing of some specific volumes within the geological domain.

And this combination of a direct method which resulted in a first association of a Cell-id to each voxel, with an indirect method which is a post-processing of some voxels for which the. Cell-id is first reset then redefined, is referred to as an “hybrid” method.

The “Parametric” Method—General Aspects

The parametric method involves the following steps:

-   -   Constructing at least one transfer function defined from the         geological domain to a parametric domain for associating each         point (x,y,z) in the geological domain to an image point (u,v,t)         in the parametric domain. In the example commented in this text,         three transfer functions (u=u(x,y,z), v=v(x,y,z), t=t(x,y,z))         are defined for this parametric method,     -   Partitioning the parametric domain into parametric cells (this         being done with any method known in the art),     -   Associating a respective cell identifier (Cell-id) to each         parametric cell of the parametric domain, each parametric cell         being individually associated to a respective cell identifier,     -   After the 3D screen construction step, associating to each voxel         of the 3D screen the cell identifier of the parametric cell in         the parametric domain which contains the image point (u,v,t) of         a reference point (x,y,z) contained in said voxel.

The parametric domain is thus a domain which is used for defining Cell-ids, and which is associated to the geological domain through three transfer functions.

Among the transfer functions used for establishing a correspondence between the geological and parametric domains, one transfer function is defined so that the image of each horizon of the geological domain is a plane in the parametric domain (regarding this aspect reference is made in particular to FIGS. 3 and 5 which will be further commented in this text).

This particular transfer function is referred to as t=t(x,y,z).

Furthermore, in the parametric domain the discontinuities of the geological domain corresponding to faults have disappeared, i.e. the images of points located on opposite sides of such faults. in the geological domain

The partitioning of the parametric domain into parametric cells should be carried out (with any method known in the art) in such a way that no edge or face bordering a parametric cell crosses a plane corresponding to an image of an horizon of the geologic domain through the transfer functions.

Thus, the transfer functions to be built have to meet the following requirements:

-   -   The image through the transfer functions u,v and t of any point         Q(x,y,z) of the geological domain having coordinates x,y,z in         the referential of said geological domain is a point Q*(u,v,t)         having coordinates (u,v,t) in the parametric domain, so that         u=u(x,y,z), v=v(x,y,z), t=t(x,y,z),     -   As shown in FIGS. 3 and 5, the image of any horizon H of the         geological domain (i.e. a singular surface of the geological         domain separating two different layers having different         geological compositions) is an horizontal plane H* of the         parametric domain (<<(horizontal>> is defined in the parametric         domain as meeting the condition t is constant), this being true         even if H is a surface with faults and/or folds,     -   In the parametric domain, all discontinuities associated to a         fault have disappeared.

A practical way to build such transfer functions is to use the GeoChron method (see Mallet, J. L., (2004)—Space-Time Mathematical Framework for Sedimentary Geology. Math. Geol., V. 36, No. 1, pp. 1-32).

In practice, the transfer functions (u=(x,y,z), v=v(x,y,z), t=t(x,y,z)) are thus built according to the GeoChron model as described in “Space-time mathematical framework for sedimentary geology” (Mathematical Geology, Vol. 36, N^(o) 1, 2004).

As suggested in this article, the construction of this 3D parameterization “GeoChron” model is based on the DSI interpolator (Mallet—2002: Geomodeling—Oxford University Press) and is implemented as follows:

-   -   The geological domain is covered by a 3D mesh consisting of         adjacent polyhedra whose edges may be tangent to fault surfaces         but never cross these fault surfaces (as illustrated in FIG. 4).     -    This mesh is distinct from the grid formed by the 3D screen,         and from the 3D grid which will be obtained once the cells are         defined.     -    As illustrated on FIG. 4 which shows such a mesh based on         tetrahedra, the polyhedra are typically tetrahedra, or polyhedra         which can be divided into tetrahedra. In the case of polyhedra         formed by several adjacent tetrahedra, each tetrahedron shall be         treated separately, and we will therefore refer to “tetrahedra”         hereinafter,     -   Memory slots are reserved for the coordinates (u,v,t) of the         image of each vertex of each tetrahedron in the parametric         domain,     -   It is assumed that the transfer functions are linear inside each         tetrahedron and therefore each transfer function is fully         defined within said tetrahedron by its values at the vertices of         said tetrahedron, and the gradient of each such transfer         function is constant within a given tetrahedron,     -   The values of the transfer function t(x,y,z) within the         parametric domain are first computed,     -   The values of the other transfer functions (u(x,y,z), v(x,y,z))         within the parametric domain are then computed.

The storage and exploitation of the values of the transfer functions at the vertices of the tetrahedra is carried out according to the method described in WO 03/050766.

For ensuring that the transfer function t has a constant value over any horizon of the geological domain, a new variant of the DSI technique is implemented. (details on this new variant of the DSI technique which uses specific smoothness constraints shall be reminded herebelow).

For that purpose, so called “Control Points” DSI constraints are installed to specify that horizons H of the geological domain should correspond to constant isovalue surfaces for the parameter t=t(x,y,z) interpolated at the vertices of the tetrahedra.

Once the values of the transfer function t have been computed at the vertices of the tetrahedra, the values for the other transfer functions (u,v) are. also computed at the same locations.

For that purpose, a reference surface is chosen in the geological domain and then values of u=u(x,y,z) and v=v(x,y,z) are computed on this reference surface in such a way that, on this reference surface, the isovalue lines of u=u(x,y,z) and v=v(x,y,z) be as much as possible orthogonal.

The “reference surface” is typically an horizon of the geological domain.

The values of u and v are then computed for all the vertices of all tetrahedra of the geological domain (and hence for all points of this geological domain), using a DSI technique.

More precisely, DSI constraint are installed to specify that from the values computed for the reference surface, the functions u=u(x,y,z), v=v(x,y,z) are extrapolated at the vertices of all the tetrahedral of the geological domain in such a way that the gradients of these functions be as much as possible orthogonal and have smooth variations.

The DSI method is then applied to compute the values of the transfer functions u=u(x,y,z), v=v(x,y,z), t=t(x,y,z) at the vertices of all the tetrahedra while honouring all the DSI constraints defined above.

Given the fact that the transfer functions are linear within any tetrahedron, the values of the transfer functions at the vertices of the tetrahedra give access to the values of these functions for any point of the geological domain, by linear interpolation as a function of the position of said point within a given tetrahedron.

Once the transfer functions u=u(x,y,z), v=v(x,y,z), t=t(x,y,z) have been fully defined on the geological domain, the partition of the geological domain into cells is carried out through the following steps:

-   -   For each voxel V of the 3D screen, a memory position I(V) is         reserved in order to memorize the Cell-id which shall be         associated to the voxel,     -   All Cell-ids of the voxels of the 3D screen are set to an         initial value <<Cell-Undef>> which by convention corresponds to         an invalid Cell-id,     -   The parametric domain is partitioned into parametric cells, as         mentioned above, so as to produce a set CLIST* of parametric         cells CLIST*={C1*, C2*, . . . , Cn*}.     -    A simple way to proceed is to define the parametric cells as         adjacent hexahedric cells in which each edge is parallel to one         of the three axis u,v,t of the parametric domain.     -    It is specified that the size of the parametric cells can be         adapted locally so as to e.g. take into account local variations         of permeability (a preferred application of the invention is to         run a flow simulator after having associated to each cell a         permeability tensor).     -    As an illustration and as represented in FIG. 5, the parametric         domain can be compared to a box CLIST* of hexahedric         parallepipedic sugar pieces, each parametric cell corresponding         to one of these sugar pieces.     -    It is to be noted that the illustration of FIG. 5 furthermore         shows than such hexahedric parallepipedic “sugar pieces”         parametric cells define iso-t levels, each level corresponding         to a given value of t. On the particular representation of FIG.         5, two such “iso-t” levels H*(t1) and H*(t2) are associated to         the respective images through the transfer functions of horizons         H(t1) and H(t2) illustrated in FIG. 3.     -    It is also specified that the parametric cells can be obtained         using any griding method known in the art for generating cells         whose edges never cross the planes corresponding to the images         of the horizons through the transfer functions (these planes         being orthogonal to the t axis).     -   Each parametric cell Ck* is then individually associated to a         respective Cell-id, so that two different parametric cells are         associated to two different Cell-ids,     -   On the basis of this association of Cell-ids to the parametric         cells, a function I*(u,v,t) is defined within the parametric         domain. This function associates to any point (u,v,t) of the         parametric domain the Cell-id of the parametric cell containing         said point,     -   The Cell-id of any given voxel V of the geological domain is         then defined as follows:         -   The coordinates (x,y,z) of a reference point Q of the             geological domain which is individually associated to the             voxel V (e.g. its centre) are determined,         -   The coordinates u=u(x,y,z), v=v(x,y,z) and t=t(x,y,z) of the             point Q*(u,v,t) image of Q(x,y,z) in the parametric domain             are determined,         -   The Cell-id I*(u,v,t) is associated to the voxel V.

After these steps, the Cell-id I(V) of a given voxel V is either:

-   -   The Cell-id of a cell Ck whose image in the parametric domain is         included into a parametric cell of the set CLIST*, or     -   The code “Cell-Undef” if V does not belong to any cell of the         partition to be built.

As illustrated in FIG. 3, most of the cells built this way in the geological domain have an hexahedric shape. This is advantageous in the perspective of the use of the cell partition of the geological domain with numerical tools such as a flow simulator, which performance increases with hexahedric cells.

FIG. 6 provides another illustration of a 3D cell partitioning obtained by a method according to the invention, this figure showing in particular:

-   -   The grid of hexahedric cells which is obtained,     -   The trace on the borders of the geological domain of the 3D         screen, as well as a part of said 3D screen with its voxels         individually represented (in the lower left part of the domain),     -   The reference axis X, Y and Z for the referential of the         geological domain.         The GeoChron Model and the DSI Technique

There are potentially many possible implementation methods to build the functions u(x,y,z), v(x,y,z) and t(x,y,z), some few of them being sketched in (Mallet—Space-Time Mathematical Framework for Sedimentary Geology—Math. Geol., V. 36, No 1, pp. 1-32—2004).

However, as mentioned above, the GeoChron model (presented e.g. in Mallet—Space-Time Mathematical Framework for Sedimentary Geology—Math. Geol., V. 36, No 1, pp. 1-32—2004) can advantageously be used in the parametric method for building the transfer functions t=t(x,y,z) and (u=u(x,y,z), v=v(x,y,z)).

This GeoChron model is used in combination with the so-called DSI technique, presented in Mallet: Discrete Smooth Interpolation in Geometric Modeling—Journal of Computer Aided Design—1992 and extensively developed chapter 4, page 139 to 197 in Mallet: Geomodeling—Oxford University Press—2002.

It is specified that the other main direct method—the “cookie-cutter” method—also uses the GeChron model and a DSI technique, but only for computing the values of the transfer function t(x,y,z).

According to the GeoChron model, it is sought to obtain transfer functions whose gradients fulfil, at any location (x,y,z) in the geologic domain, the following criteria (for the cookie-cutter method, only the aspects relating to the function t are to be considered):

-   -   The gradients of u(x,y,z) and v(x,y,z) are, as much as possible,         orthogonal to the gradient of t(x,y,z),     -   The gradients of u(x,y,z) and v(x,y,z) are, as much as possible,         mutually orthogonal and have the same magnitude,     -   The gradients of u(x,y,z), v(x,y,z) and t(x,y,z) are never equal         to the null vector.

Respecting such criteria ensures that the magnitude of the strain tensor defined page 19 in Mallet—Space-Time Mathematical Framework for Sedimentary Geology—Math. Geol., V. 36, No 1, pp. 1-32—2004 and induced by the parameterization of the transfer functions is minimized.

As mentioned above and as illustrated in FIG. 4, the geological domain has been partitioned into polyhedra which are tetrahedra, or can be decomposed each into adjacent tetrahedra.

Therefore, we will consider hereunder that such polyhedra are tetrahedra (each tetrahedron being treated separately).

Any pair of connected adjacent tetrahedra of the geological domain share three vertices, three edges and one common triangular face.

It is to be noted that “pairs” of tetrahedra which are not connected and which do not share any vertex or edge can also be defined, for the purpose of treating the case of two tetrahedra located on opposite sides of a fault surface by modelling the discontinuities generated by such fault surface in the geological domain.

The set of tetrahedra so defined generates a so called “tetrahedral 3D mesh” whose nodes correspond to the vertices of the tetrahedra while the links of said mesh correspond to the edges of the tetrahedra.

In the following, the set of all the nodes of such a mesh is noted M and each individual node is noted with a letter (m).

At any location (x,y,z) in the geological domain, it is sought to model a function g(x,y,z) which may be either scalar of vectorial; for example:

-   -   If g(x,y,z)=t(x,y,z) corresponds to the parameter (t) used in         the GeoChron model, then g(x,y,z) is a scalar function taking         one scalar value (t) at any point (x,y,z) in the geological         domain.     -   If g(x,y,z)=[u(x,y,z), v(x,y,z)] corresponds to the pair of         parameters (u,v) used in the GeoChron model, then g(x,y,z) is a         vectorial function taking one vectorial value (u,v) at any point         (x,y,z) in the geological domain.

Whatever the nature of g(x,y,z)—scalar or vectorial—for the sake of simplicity we shall adopt the following notation an assumption:

-   -   For any node (m) of M whose coordinates are (mx,my,mz), the         value of g(mx,my,mz) is referred to as g(m);     -   The function g(x,y,z) is assumed to vary linearly inside each         tetrahedron.

The function g(x,y,z) is piecewise linear in the geological domain, i.e. it is linear within each tetrahedron.

Due to the piecewise linear variation of g(x,y,z), for any point (x,y,z) located inside a tetrahedron T, the value g(x,y,z) is a linear function of the values g(m0), g(m1), g(m2), g(m3) taken by the function g(x,y,z) at the vertices m0, m1, m2, m3 of this tetrahedron.

This can be expressed by equation E1: $\begin{matrix} {{g\left( {x,y,z} \right)} = {{{A\left( {\left. {m\quad 0} \middle| T \right.,x,y,z} \right)} \cdot {g\left( {m\quad 0} \right)}} + {{A\left( {\left. {m\quad 1} \middle| T \right.,x,y,z} \right)} \cdot {g\left( {m\quad 1} \right)}} + {{A\left( {\left. {m\quad 2} \middle| T \right.,x,y,z} \right)} \cdot {g\left( {m\quad 2} \right)}} + {{A\left( {\left. {m\quad 3} \middle| T \right.,x,y,z} \right)} \cdot {g\left( {m\quad 3} \right)}}}} & \left\lbrack {E\quad 1} \right\rbrack \end{matrix}$

In such a linear representation of g(x,y,z), each coefficient A(m|T,x,y,z) depends on the geometry of the tetrahedron T and the position of the point (x,y,z) inside T.

More precisely, each coefficient A(m|T,x,y,z) is the so called “barycentric coordinate” of (x,y,z) relative to the vertex (m) of T.

This implies that the function g(x,y,z) is fully defined in the whole geological domain by its values on the set M of all the nodes of the tetrahedral mesh covering said geological domain.

For the sake of simplicity, the collection of all these values are assumed to be the components of a matrix G: G = [g(m  0), g(m  1), g(m  2), g(m  3), g(m  4), g(m  5), …  , g(mN)]

As a consequence of the piecewise linear variation of g(x,y,z), it can be concluded that modelling this function is equivalent to determining the “best” matrix G, the word “best” being taken in a sense defined hereinafter.

Discrete Smooth Interpolation (DSI)

The Discrete Smooth Interpolation method (DSI) introduced in (Mallet: Discrete Smooth Interpolation in Geometric Modeling—Journal of Computer Aided Design—1992) and extensively developed chapter 4, page 139 to 197 in (Mallet: Geomodeling—Oxford University Press—2002) proposes choosing the “best” matrix G as follows.

Each information on the function g(x,y,z) is translated into a DSI constraint C consisting of a linear equation E2 linking the components of the matrix G: $\begin{matrix} {{{{A\left( {m\quad 0} \middle| C \right)} \cdot {g\left( {m\quad 0} \right)}} + {{A\left( {m\quad 1} \middle| C \right)} \cdot {g\left( {m\quad 1} \right)}} + \ldots + {{A\left( {mN} \middle| C \right)} \cdot {g({mN})}}} = {b(C)}} & \left\lbrack {E\quad 2} \right\rbrack \end{matrix}$

The Unknown variables of this equation are the values g(m0), g(m1), . . . , g(mN).

In such a linear equation, the coefficients A(mi|C) and b(C) fully define the constraint C to be respected.

Thus, these coefficients are chosen (as illustrated by examples furtherbelow in this text) as a function of the specific constraint to be taken into account.

The set of all the linear equations corresponding to all the DSI constraints is then solved in a least square sense where the matrix G is the unknown to be determined.

Among the most popular DSI constraints, one must mention the so called “Control Point” constraint specifying that the value of g(x,y,z) at a given sampling location (x*,y*,z*) inside a tetrahedron T must be equal to a given value g*=g(x*,y*,z*).

For that purpose, taking into account the local linear variation of g(x,y,z) inside T described by equation [E1], a linear DSI constraint C* is introduced as follows: $\begin{matrix} {{{{A\left( {\left. {m\quad 0} \middle| T \right.,x^{*},y^{*},z^{*}} \right)} \cdot {g\left( {m\quad 0} \right)}} + {{A\left( {\left. {m\quad 1} \middle| T \right.,x^{*},y^{*},z^{*}} \right)} \cdot {g\left( {m\quad 1} \right)}} + {{A\left( {\left. {m\quad 2} \middle| T \right.,x^{*},y^{*},z^{*}} \right)} \cdot {g\left( {m\quad 2} \right)}} + {{A\left( {\left. {m\quad 3} \middle| T \right.,x^{*},y^{*},z^{*}} \right)} \cdot {g\left( {m\quad 3} \right)}}} = g^{*}} & \left\lbrack C^{*} \right\rbrack \end{matrix}$

This equation [C*] is a particular form of the general equation [E2] of the DSI constraint, in which only the coefficients A(m|C*)=A(m|T,x*,y*,z*) corresponding to vertices of T are not equal to zero, and b(C)=g*. Therefore, equation [C*] represents a DSI constraint.

In practice, most of the DSI constraints, including the Control Point constraints, are not sufficient to ensure the unicity of the least square solution of the DSI problem.

In order to ensure such unicity, additional constraints can be introduced to specify that, among all the possible solution, the preferred solution G must be “as smooth as possible” everywhere on the mesh M.

Different ways are possible for taking into account such a “smoothness” constraint.

The traditional method proposed in (Mallet: Geomodeling—Oxford University Press—2002) consists in specifying that the value g(m) at a given node of the mesh should be equal to the average value at neighbouring nodes linked (i.e. directly adjacent) to (m).

Such a constraint is referred to as a “Minimum Roughness” constraint and must be introduced for all the nodes of the mesh.

However, in the context of computing a 3D GeoChronic parameterization, rather than using this “Minimum Roughness” constraint, another well-suited method consists in introducing a set of “Constant Gradient” DSI constraint specifying that, for any pair of adjacent tetrahedra T1 and T2, the partial derivatives of g(x,y,z) on T1 should be equal to the partial derivatives of g(x,y,z) on T2.

More precisely, introducing such DSI Constant Gradient constraints amounts to specifying that:

-   -   if g(x,y,z)=t(x,y,z) is scalar, then there are three linear         equations (of the [E2] type) specifying that the three         components of the gradients of t(x,y,z) in T1 and T2 are equal;     -   if g(x,y,z)=[u(x,y,z),v(x,y,z)] is vectorial, then there are         -   three linear equations (of the [E2] type) specifying that             the three components of the gradients of u(x,y,z) in T1 and             T2 are equal, and         -   there are also three linear equations (of the [E2] type)             specifying that the three components of the gradients of             v(x,y,z) in T1 and T2 are equal.

Equivalently, based on the normal vector N1,2 orthogonal to the common face to T1 and T2, it is also easy to check that these DSI Constant Gradient constraints amount to specifying that:

-   -   if g(x,y,z)=t(x,y,z) is scalar, then the projections of the         gradients of g(x,y,z) in T1 and T2 onto N1,2 are equal;     -   if g(x,y,z)=)=[u(x,y,z),v(x,y,z)] is vectorial, then:         -   the projection onto N1,2 of the respective gradients of             u(x,y,z) in T1 and T2 are equal,         -   the projection onto N1,2 of the respective gradients of             v(x,y,z) in T1 and T2 are equal.

In order to correspond to valid curvilinear parameterizations of the 3D geological domain, the transfer functions u,v and t should have gradients which are never equal to the null vector.

Furthermore, the magnitude of the gradients of u(x,y,z) and v(x,y,z) should fulfil the requirement that such magnitude is as constant as possible (see: Mallet—Space-Time Mathematical Framework for Sedimentary Geology—Math. Geol., V. 36, No 1, pp. 1-32—2004).

The “Constant Gradient” DSI constraints (which are applied to all pairs of tetrahedra (T1, T2) in the geological domain) allow such requirement to be fulfilled, and are therefore particularly well suited as smoothness constraints to be used with the present invention in place of the traditional DSI smoothness constraints.

These “Constant Gradient” DSI constraints correspond to the new variant of the DSI technique mentioned above.

Hereunder are exposed the main aspects of the construction of the transfer functions t(x,y,z), as well as u(x,y,z) and v(x,y,z).

Building t(x,y,z) with DSI

Let {t0,t1, . . . ,tn} be a series of arbitrary scalar constants sorted by increasing values, and associated to a series of horizons {H(t0), H(t1), . . . ,H(tn)}.

Although not mandatory, for the sake of. clarity, the parameter ti may be considered as the geological time when the particles of sediments were deposited on the associated horizon H(ti).

In the following, the problem of building a function t(x,y,z) in the geological domain is addressed in such a way that t(x,y,z) be as much as possible equal to ti when (x,y,z) is located on the horizon H(ti).

For each horizon H(ti) a set HSP(ti) consisting of sampling points of the geological domain located on H(ti) is built.

It is then proceeded as follows to compute t(x,y,z) at the nodes of the tetrahedral mesh covering the geological domain:

-   -   For each set {HSP(t0), HSP(t1), . . . ,HSP(tn)} and for each         sampling point (x*,y*,z*) of a set HSP(ti), a DSI Control Point         constraint is installed;     -   For each pair of tetrahedra (T1,T2), a smoothness condition         (e.g. a DSI Constant Gradient constraint) is installed to ensure         the smoothness of the solution;     -   If need be, other DSI constraints can be added (e.g., see         Mallet: Geomodeling—Oxford University Press—2002).     -   The DSI interpolation method is then run to solve in a least         square sense the system of linear equations corresponding to all         the DSI constraints installed above. As a result, the values of         the scalar function g(x,y,z)=t(x,y,z) at all the nodes of the         tetrahedral mesh are obtained.         Building u(x,y,z) and v(x,y,z) with DSI

It shall now be explained how the functions u(x,y,z) and v(x,y,z) can be computed at the nodes of the tetrahedral mesh covering the geological domain.

Prior to building u(x,y,z) and v(x,y,z), it is assumed that the following prerequisites are fulfilled:

-   -   First, as described above, the parametric function t(x,y,z) is         assumed to have already been computed at all nodes of the         tetrahedral mesh.     -   Next, a reference surface RH(t) (typically an horizon)         corresponding to an isovalue surface of the function t(x,y,z))         has been arbitrarily selected inside the geological domain.         Preferably, this reference horizon should be chosen in the         middle of the geological domain and should intersect the maximum         number of fault blocks (the “fault blocks” being the regions of         the geological domain which are bounded by the fault surfaces)         of the geological domain as possible.     -   Finally, a surface parameterization (ur=ur(x,y,z), vr=vr(x,y,z))         of the reference horizon RH(t) is assumed to be computed. This         parameterization is thus a function defined only on the         reference horizon RH(t), not to be confused with the transfer         functions u=u(x,y,z) and v=v(x,y,z) which are defined in the         whole volume of the geological domain. For computing such a         surface parameterization of RH(t), one can, for example, use the         method described page 287 in (Mallet—Geomodeling—Oxford         University Press—2002).

It is to be noted that, as a result of the parameterization of the reference horizon RH(t), the output of the parametric functions ur(x,y,z) and vr(x,y,z) are now known for any point (x,y,z) located on the reference horizon RH(t).

Moreover, according to the method described in section 6.5.2 page 290 and section 6.5.3 page 295 in Mallet—Geomodeling—Oxford University Press—2002, it is always possible to compute ur(x,y,z) and vr(x,y,z) in such a way that:

-   -   The modules of the gradients of ur(x,y,z) and vr(x,y,z) on RH         are as much as possible constant (for example both modules equal         to 1),     -   The gradients of ur(x,y,z) and vr(x,y,z) on RH are as much as         possible orthogonal between them,     -   The respective modules of the gradients of ur(x,y,z) and         vr(x,y,z) on RH are as much as possible identical.

Note that this is equivalent to saying that the contour lines on RH of ur(x,y,z) are equally spaced and are orthogonal to the contour lines on RH of vr(x,y,z) which are also equally spaced

According to one embodiment of the invention, for any node (x,y,z) of the tetrahedral mesh in the geological domain, u(x,y,z) and v(x,y,z) are computed simultaneously with the DSI method in such a way that:

-   -   u(x,y,z)=ur(x,y,z) for any sampling point (x,y,z) located on the         reference horizon RH. Note that such a constraint can be         implemented as a DSI Control Point constraint (as described         hereabove),     -   v(x,y,z)=vr(x,y,z) for any sampling point (x,y,z) located on the         reference horizon RH. Note that such a constraint can be         implemented as a DSI Control Point constraint (as described         hereabove),     -   In any tetrahedron T of the mesh covering the geological domain,         each of the gradient of u(x,y,z) and the gradient of v(x,y,z)         must be orthogonal to the gradient of t(x,y,z). Such a         constraint can be implemented as a so called “Dot product” DSI         Constraint (to be further defined thereafter),     -   In any tetrahedron T, the gradient of u(x,y,z) and the gradient         of v(x,y,z) must be orthogonal between them and have the same         length. Such a constraint can be implemented as a so called         “Conformal Mapping” DSI Constraint (to be further defined         thereafter).

“Dot product” and “Conformal Mapping” constraints can be turned into regular linear DSI Constraints corresponding to linear equations similar to equation [E2] and involving values of u(x,y,z) and v(x,y,z) at the vertices of a given tetrahedron T containing (x,y,z).

For that purpose, it is reminded that t(x,y,z) has been precomputed and, for each tetrahedron T it is then possible to compute the unitary vector N collinear to the gradient of t(x,y,z) inside T.

It is then proceeded as follows:

-   -   Specifying that u(x,y,z) is orthogonal to N is equivalent to         saying that the dot product (also called outer product or scalar         product) of the gradient of u(x,y,z) with N is equal to zero.         Such a dot product is linear relatively to the values of         u(x,y,z) at the vertices of T and can thus be considered as a         valid DSI constraint called a “Dot Product” DSI constraint (see         equation [E2]). Specifying that v(x,y,z) is orthogonal to N can         be achieved in a similar way.     -   The cross product (also called inner product or vectorial         product) of the gradient of u(x,y,z) by the unitary vector N is         a vector U orthogonal to N whose length is equal to the length         of the gradient of u(x,y,z) and whose components are linear         combination of the values of u(x,y,z) at the vertices of T. The         constraint applied here is that U should be equal to the         gradient of v(x,y,z)—this constraint being a linear equation         involving the values of u(x,y,z) and the values of v(x,y,z) at         the vertices of T: such an equation is thus a valid DSI         constraint (see equation [E2]) called a “Conformal Mapping” DSI         Constraint.     -   Similarly, the cross product (also called inner product or         vectorial product) of the gradient of v(x,y,z) by the vector         (−N) is a vector V orthogonal to N whose length is equal to the         length of the gradient of v(x,y,z) and whose components are a         linear combination of the values of v(x,y,z) at the vertices         of T. The constraint applied here is that V should be equal to         the gradient of u(x,y,z)—this constraint being a linear equation         involving the values of u(x,y,z) and the values of v(x,y,z) at         the vertices of T: such an equation is thus a valid DSI         constraint (see equation [E2]) called a “Conformal Mapping” DSI         Constraint.

As a result of the pair of Conformal Mapping constraints presented above, the gradients of u(x,y,z) and the gradient of v(x,y,z) should have the same length and should be orthogonal.

Moreover, as a result of the Dot Product constraint, both gradients of u(x,y,z) and v(x,y,z) should be orthogonal to the gradient of t(x,y,z).

To compute u(x,y,z) and v(x,y,z) simultaneously with the DSI method, it is possible to proceed as follows:

-   -   Define a vectorial function g(x,y,z)=[u(x,y,z),v(x,y,z)] in the         whole geological domain,     -   Choose a set of sampling points on the reference horizon RH.         Such choice of the sampling points can be arbitrary—it is         however preferred to chose the sampling points such that they         are at least approximately uniformly distributed on RH,     -   For each sampling point (x*,y*,z*) on the reference horizon (it         is specified that the reference * in association with x,y,z         means that a given sampling point is considered), identify the         tetrahedron T containing this sampling point and install a pair         of DSI Control Point constraints (as previously described)         specifying that u(x*,y*,z*)=ur(x*,y*,z*) and         v(x*,y*,z*)=vr(x*,y*,z*),     -   For each tetrahedron T, a pair of Dot Product DSI constraints         are installed to specify that both gradients of u(x,y,z) and         v(x,y,z) inside T are orthogonal to the gradient of t(x,y,z),     -   For each tetrahedron T, a pair of Conformal Mapping DSI         constraints are installed to specify that the gradient of         u(x,y,z) and v(x,y,z) must be orthogonal and must have the same         length,     -   For each pair of tetrahedra (T1,T2), a DSI Constant Gradient         constraint is installed to ensure the smoothness of the         solution,     -   If need be, other DSI constraints may be added (e.g., see         Mallet: Geomodeling—Oxford University Press—2002),     -   The DSI interpolation method is then run to solve in a least         square sense the system of linear equations corresponding to the         DSI constraints mentioned above. As a result, the values of the         vectorial function g(x,y,z)=[u(x,y,z),v(x,y,z)] at all the nodes         of the tetrahedral mesh are obtained.         Local Evaluation of u(x,y,z), v(x,y,z) and t(x,y,z)

Once the values of the functions u(x,y,z), v(x,y,z) and t(x,y,z) are known at the nodes of the tetrahedral mesh, it is then possible to compute as follows the numerical value of each of these functions at any location (x,y,z) in the geological domain:

-   -   First, the tetrahedron T containing (x,y,z) is retrieved     -   Next the barycentric coordinates {A(m0|T,x,y,z), A(m1|T,x,y,z),         A(m2|T,x,y,z),; A(m3|T,x,y,z)} of (x,y,z) relative to the four         vertices (m0, m1, m2, m3) of T are computed     -   Finally, according to an equation similar to equation [E1], the         numerical values of the functions u(x,y,z), v(x,y,z) and         t(x,y,z) at location (x,y,z) are obtained as a linear         combination of the values of these functions at the vertices of         T weighted by the respective barycentric coordinates of (x,y,z)         relative to these vertices.

For example, such a process can be used to evaluate the parameters u=u(x,y,z), v=v(x,y,z) and/or t=t(x,y,z) at any reference point inside a voxel of the 3D screen (e.g. a corner of said voxel, or its centre, . . . ).

The “Cookie-Cutter” Method—General Aspects

As mentioned above, the “cookie-cutter” method is an alternative to the “parametric” method for associating a Cell-id to a voxel.

This method is carried out for the “voxel painting step”, after the definition of the voxels (which is carried out in the same way as mentioned above).

It is recalled that this method implies only one transfer function t(x,y,z)—this transfer function being the same as the function t presented above so that all comments made above about this transfer function t and the associated DSI constraints remain applicable for the cookie-cutter method.

Therefore, the computation of this transfer function t is carried out as exposed above, e.g. with a DSI technique.

In order to carry out this method, a series of increasing integer parameters {t0,t1, . . . ,tn} is defined, and {H(t0),H(t(1), . . . ,H(tn)} is defined as the respective corresponding horizons of the geological domain, being recalled that said horizons must not be intersected by the edges of the cells to be built.

The parameters t0, t1, . . . , tn are assumed to form an arbitrary increasing series of scalar parameters corresponding to the values of the transfer function t(x,y,z) on the respective horizons H(t0),H(t(1), . . . ,H(tn).

The horizons {H(t0),H(t(1), . . . ,H(tn)} define geological layers, each geological layer being defined by its borders which are two successive horizons (associated to two respective successive parameters ti)

In practice, thanks to the DSI method, the parameter t=t(x,y,z) can be interpolated continuously at any location (x,y,z) in the geological domain in a similar way as the one which was proposed above in the frame of the “parametric” method.

As a consequence, for any point (x,y,z) in the geological domain, comparing the value of t(x,y,z) to the values {t0,t1, . . . ,tn} allows the geological layer containing this point to be determined.

Indeed, for any given value of t(x,y,z), the corresponding point of the geological domain shall be included in the geological layer defined by an horizon H(ti) associated to a parameter ti smaller than t(x,y,z) and another horizon H(ti+1) associated to a parameter ti+1 greater than t(x,y,z).

As an illustration, the geological domain can thus be compared to a “cake” where the stack of “geological layers” play the role of alternate “pastry layers”: Partitioning the geological domain into cells can then be viewed as the analogue of partitioning a cake with a cookie cutter.

Based on the above “Cookie-Cutter” analogy, a method for building a three-dimensional cellular partition covering a 3D geological domain is proposed. This method comprises the following steps:

-   -   Constructing a 3D screen covering the geological domain, said 3D         screen being composed of elementary volumes elements (called         voxels),     -   Associating to each geological layer a respective identifier         called “Layer-id”, each layer being associated to a different         layer identifier,     -   Partitioning a reference horizontal (x,y) plane of the         geological domain into polygons (for example rectangles,         triangles, hexagons),     -   Associating a respective identifier called “Polygon-id” to each         polygon used to partition the horizontal plane of the geological         domain, each polygon being associated to a different identifier,     -   Defining a function F(L,P) in such a way that two different         pairs (L,P) generate two different values for F(L,P) equal to         valid Cell-ids,     -   Associating a respective cell identifier “Cell-id” to each voxel         of the 3D screen, in such a way that Cell-id=F(L,P) where L is         the Layer-id containing the voxel while P is the polygon         containing the vertical projection of a reference point (for         example the centre) of the voxel onto the horizontal plane of         the geological domain.

Here again, the cells of the geological domain are thus defined without having to code the geometry and/or topology of said cells in said geological volume.

Indirect Construction of Cells on the 3D Screen

As mentioned above, it is possible to treat all or part of the 3D screen with an “indirect” method for associating a Cell-id to the voxels of said specific area.

This indirect method can be used in particular for post-processing the voxels of specific areas of the geological domain, and change the value of the Cell-ids of said voxels after running a direct method such as mentioned above (“parametric”, or “cookie-cutter” method).

The main steps of such indirect method are the following

-   -   1. For each voxel V of the 3D screen, a memory slot I=I(V) is         reserved for memorizing a code corresponding to the Cell-id of         the voxel,     -   2. A series of pairs {(S1,I1), (S2,I2), . . . , (Sn,In)} is         defined so that for each pair (Sk,Ik)         -   Sk itself represents a series Sk={Vk1,Vk2, . . . } of voxels             of the 3D volume contained within the cell Ck to be             built—this series Sk being referred to as a “kernel”,         -   Ik represents the Cell-Id associated to the future cell Ck             to be built,             It is to be noted that in a minimal configuration Sk can be             reduced to a single voxel contained within the cell to be             built, and in a maximal configuration Sk can consist in all             the voxels contained in said cell to be built. Between these             two extreme configurations, Sk can comprise any number of             voxels contained in the cell to be built,     -   3. Each voxel V is “painted” by memorizing in I(V) as a Cell-id         the Cell-id Ik corresponding to the pair (Sk,Ik) which fulfils         the criteria that there is a voxel of the series Sk={Vk1,Vk2, .         . . } closer to V than any voxel of any other series Sj defined         above.

Step 3 mentioned above can be carried out in a number of ways.

For example, existing methods such as the ones proposed by Saito et Toriwaki (Saito, T. et Toriwaki, J. I., (1994). New algorithms for Euclidean distance transformations of an n-dimensional digit picture with applications. Pattern Recognition, V 27, No 11, pp. 1551-1565), Ledez (Ledez, D., Modélisation d'objets Naturels par formulation Implicite. Mémoire de thèse, Institut National Polytechnique de Lorraine—Nancy, France) or Cuisenaire (Cuisenaire, O., (1999). Distance transformations: Fast algorithms and application to image processing. Thèse de doctorat, Université Catholique de Louvain) can be used for computing and memorizing in association with each voxel V the shortest distance (or its value to the square) from V to a set of given points of the geological domain.

The cells are then built as mentioned above, as the union of the voxels having the same Cell-id.

According to this indirect method, each cell Ck to be built is totally defined by a pair (Sk,Ik) as defined above.

For example, if it is desired that the frontier between two cells Ck and Ch to be built should be included in a given surface F (such as e.g. a fault or an horizon), then the series of points contained in Sk and Sh shall be defined so that there exist pairs of points (Pk, Ph) whose points Pk, Ph belong respectively to the voxels of the borders of Sk and Sh and such that the segment PkPh be cut in its middle by said surface F.

Such technique is analogous to the methods for constraining the building of non structured cells built in the state of the art (see Lepage F., (2003). Génération de maillages tridimensionnels pour la simulation des phénomènes physiques en géosciences. Mémoire de thèse, Institut National Polytechnique de Lorraine—Nancy, France).

Similarly, if it is desired to place radially cells around the path of one or several wells of the geologic domain, methods similar to those proposed for building cells (see Lepage, reference above and FIG. 8) can be used.

Hybrid Method: Taking into Account Singular Areas of the Geological Domain such as Well Paths Neighbourhoods

In order to run a flow simulator on a 3D cell grid covering a geological domain and compute the flows of fluids through the domain, it can be necessary to take into account well paths traversing the geological domain.

From a practical point of view, it is necessary to modify the cell grid in the vicinity of said well paths (e.g. see FIG. 8).

This can be achieved as follows (example for a single well path):

-   -   1. A first version of the grid is first built, using a direct or         indirect method as mentioned above. This means that all the         cells are defined, and associated to a valid Cell-id,     -   2. A distance threshold D is set and the neighbourhood W(D) of         the well path is defined as the volume containing the points of         the geological domain located at a distance from the well path         which is smaller than the threshold D,     -   3. For each cell containing at least a voxel located in the         neighbourhood W(D), said cell is deleted by associating to each         of its voxels the code <<Cell-Undef>> as a Cell-id. Alternately,         it is possible to associate to all the voxels contained in W(D)         the code <<Cell-Undef>> as a Cell-id, thereby “deleting” the         cells of W(D) whose voxels are all in W(D), and “eroding” the         cells having some voxels in W(D) (these voxels are “eroded” from         the cell because the value of their Cell-id is brought to         <<Cell-Undef>>), as well as some voxels outside W(D) (these         voxels will keep their Cell-id and the cell will then be         considered as comprising only these non-eroded voxels). This         means that some cells are selectively deleted or eroded—and         replacement cells shall be built as described hereunder,     -   4. For each cell Ck which no longer contains any voxel located         in the neighbourhood W(D), the set (Sk,Ik) is built so that Sk         be identical to the set of all voxels of Ck while Ik is equal to         the Cell-id of Ck. For each cell containing at least a voxel         located in the neighbourhood W(D), said cell is deleted by         associating to each of its voxels the code <<Cell-Undef>> as a         Cell-id. This means that some cells are selectively deleted—and         replacement cells shall be built as described hereunder,     -   5. The indirect method which has been described above is used to         build the replacement cells which shall fill the neighbourhood         W(D), said indirect method being carried out on the basis of the         sets {Sk,Ik} built at steps 4 and 5 above.         Hybrid Method: Taking into Account Local Heterogeneities

In order to run a flow simulator on a 3D cell grid covering a geological domain and compute the flows of fluids through the domain, it can be necessary to take into account local heterogeneities of the physical properties in a given region R of the geological domain such as, for example, those induced by channels, lenses or more generally a region with a rapid local variation of some physical property or properties.

From a practical point of view, it is necessary to refine the cell grid in such a region.

This can be achieved as follows (example for a single region):

-   -   1. A first version of the grid is first built, using a direct or         indirect method as mentioned above. This means that all the         cells are defined, and associated to a valid Cell-id,     -   2. The set W(R) of all the voxels contained in the region R is         defined.     -   3. For each cell containing at least a voxel located in W(R),         said cell is deleted by associating to each of its voxels the         code <<Cell-Undef>> as a Cell-id. Alternately, said cell can be         simply “eroded” (as described above, by associating to each         voxel of said cell which is contained in W(R) the code         <<Cell-Undef>> as a Cell-id). This means that some cells are         selectively deleted or eroded—and replacement cells shall be         built as described hereunder,     -   4. For each cell Ck which no longer contains any voxel located         in the neighbourhood W(R), the set (Sk,Ik) is built so that Sk         be identical to the set of all voxels of Ck while Ik is equal to         the Cell-id of Ck,     -   5. Kernel voxels {VR1,VR2, . . . } are disposed in the region R         with a local density related (e.g. proportional) to the         intensity of the heterogeneity of the physical property which         varies rapidly into the region R, each kernel voxel being         located at the centre of the desired replacement cell to be         built and so that the volume of W(R) is filled. For each kernel         voxel VRk thus created, a set (Sk,Ik) is built so that kernel Sk         is a set of voxels limited to the voxel VRk and Ik is a valid         value for a Cell-id, which has not been used for any other cell,     -   6. The indirect method which has been described above is used to         build the replacement cells which shall fill W(R), said indirect         method being carried out on the basis of the sets {Sk,Ik} built         at steps 4 and 5 above.         Postprocessing: Taking Faults into Account

It is recalled that the fault surfaces of the geological domain should not be cut by the edges of the cells to be built in the geological domain.

However, it is possible that the implementation of the methods described above generates a few cells whose edges may cut the faults.

The invention also provides a post-processing in order to treat such cells.

This post-processing is operated as follows, for each cell Ck produced by a method as mentioned above (direct, hybrid or even indirect) and cut by one or several fault surface(s) of the geological domain.

For each such cell Ck, a partition Ck={Ck1,Ck2, . . . } of Ck into smaller subsets Cki of voxels is performed, in accordance with the. following criteria:

-   -   a. The centres of all voxels located in a same subset Cki are         located on the same side of the fault surface (this being true         for every fault surface of the geological domain);     -   b. A new Cell-id is associated to each subset Cki of Ck, said         Cell-id being different from all Cell-ids already used. For each         voxel V of the subset which is considered, this new Cell-id is         then memorized in the I(V) memory space related to the voxel.

To implement the above post-processing, it is necessary to know which voxels are crossed by the fault surfaces.

This can be achieved easily by marking as “cut” in the memory of the system which operates the invention the voxels whose, at least, one edge is cut by a fault surface.

FIG. 3 illustrates the trace of fault surfaces on the 3D screen, with the voxels cut by a fault surface being marked as “cut” which translates into a white color for the voxel on the representation of FIG. 3.

This figure also shows two horizons H(t1) and H(t2) which (as will be explained in this text) are associated to two respective values t1 and t2 of a parameter t.

Postprocessing: Improving the Shape/Size of Cells

It is also possible that the methods described above produce some cells for which it may be desired to modify the shape or size (e.g. a cell containing less than a minimum desired number of voxels, such as 50 voxels, . . . ).

The invention further provides a post-processing method for merging two adjacent cells. This is done by associating to the voxels of both adjacent cells to be merged the same Cell-id (which can be the previous Cell-id of one of the two cells to be merged).

And it is also possible to post-process the frontier between two given cells Ck, Ch by treating all or some of the voxels bordering the two cells.

More precisely, for a pair of two adjacent voxels V0 and V1 which border respectively the cells Ck and Ch, it is possible to incorporate V0 into the cell Ch (or conversely incorporate V1 into the cell Ck), by associating to said voxel V0 (resp. V1) the Cell-id of V1 (resp. the Cell-id of V0).

This allows the frontier between two adjacent cells to be modified as desired, and hence the shape of the cells.

Use of a Cell Partition Made on a 3D Screen

Once a cell partition has been built, it is of course necessary to be able to use the information associated with said partition.

This is required in particular:

-   -   for performing post-processing operations as mentioned above (it         can be necessary to identify given cells or voxels, to identify         the voxels in a given neighbourhood or region, . . . ),     -   for using the cell partition in further processing, typically         with a flow simulator.

As explained above, a 3D cell partition is defined by the Cell-ids associated to the different voxels of the 3D screen which underlies the cell partition.

As an illustration, FIG. 7 shows a cell built according to the invention, with a set of voxels associated to the same Cell-id.

The enlarged view of this figure shows the aliasing on the faces and edges of the cell. Said aliasing is associated to the fact that the cells are built with elementary volume elements (the voxels—which are hexahedral in the case of this figure).

Defining a minimum standard number of voxels per cell (e.g. 50) allows such an aliasing effect to be kept at an acceptable level (see e.g. FIG. 3).

Each voxel V of the 3D screen can be accessed through its index information Loc(V), and its associated Cell-id is accessible through the value of I(V) memorized in the system which operates the invention.

It is specified that in order to use the cells of the partition with a flow simulator, additional information is typically associated to each voxel for representing physical parameters of the geological domain. A typical use of the cells of the 3D screen thus implies memorizing in association with each voxel a permeability data, which can be a scalar data (from which a permeability tensor can be derived for the cell containing the voxel, as explained below).

The main elementary operations associated with the voxels/cells of the 3D screen are described below:

-   -   In order to find an arbitrary voxel V contained in a given cell         whose Cell-id is known to have a given value I0, all voxels of         the 3D screen and their respective associated Cell-id are         scanned until such a voxel is found (i.e. I(V) of the voxel=I0).         This scanning can be a sequential scan of all voxels in a         predetermined order which is fixed, but the scanning of the         voxels can also be optimized by using e.g. an octree method         known in the computational geometry,     -   In order to find the voxel of the 3D screen which contains a         given point P(x,y,z) having coordinates (x,y,z) in the         referential of the geological domain, and assuming that the         three dimensions of the 3D screen are parallel to the three         respective axis X, Y, Z of said referential and that all voxels         are identical hexahedra, the searched voxel shall be identified         by a given line (i), column (j) and plane (k) of the 3D screen.         These elements are found as follows:         i=integer part of (x−x0)/DX         j=integer part of (y−y0)/DY         k=integer part of (z−z0)/DZ,         with (x0,y0,z0) the coordinates in the referential of the         geological domain of the origin of the 3D screen and (DX,DY,DZ)         the respective dimensions of each voxel along directions X, Y, Z     -   In order to determine the Cell-id of a cell containing a given         voxel V, the value I(V) memorized in association with said voxel         V is read,     -   In order to determine the set Wc of all voxels of a 3D screen         which belong to a given cell C containing a given voxel Vc         associated to a Cell-id I(Vc), a method consists in scanning the         voxels of the 3D screen through successive concentric adjacent         “rings” centered on said given voxel Vc.     -    A “ring” is defined as a domain of the 3D screen (i.e. a         collection of voxels) defined by the volume difference between a         first “sphere” (in the sense of the so-called “Manhattan”         geometry in the case where all the voxels are identical         hexahedra) and a second “sphere” which is concentric and         adjacent to the first sphere, and of a greater radius.     -    Each of the concentric “rings” is thus defined by the         difference between a given sphere of a series of concentric         spheres (in the sense of the so-called “Manhattan” geometry in         the case where all the voxels are identical hexahedra) and the         sphere adjacent in said series of spheres.     -    It is specified that the size of the spheres of the series (and         hence the size of the successive rings) can increase with a         given increment.     -    Through such scanning, the information I(V) of each scanned         voxel is read and only the voxels having a I(V) equal to I(Vc)         are retained. The scanning stops as soon as one of the         successive concentric rings does not contain any voxel         associated to the value I(Vc),     -   In order to find a set N(Vc) of voxel composed of voxels         belonging to cells adjacent to a cell C which contains a given         voxel Vc associated to a Cell-id I(Vc), said set N(Vc)         containing only one voxel of each such cell adjacent to the cell         C, the following steps are carried out:         -   Starting from Vc, all voxels of the 3D screen associated to             the same Cell-id I(Vc) are identified by successive rings             (as described above), this forming a first set of voxels,         -   From the voxels of this first set only the voxels which are             adjacent in the 3D screen to a voxel associated to a Cell-id             different from I(Vc) are retained, this forming a second set             of voxels,         -   From this second set of voxels, the redundancies are             furthermore eliminated (i.e. for a given Cell-id, only one             voxel is finally retained), in order to produce the desired             set N(Vc),     -   In order to determine the volume of a cell C containing a given         voxel Vc, a possible method is as follows:         -   In a first step, the set Wc of all voxels V associated to             the same Cell-id as Vc is defined (see above),         -   The number n of voxels in Wc is counted,         -   Assuming that all voxels have the same volume (the most             practical configuration being the one where all voxels are             identical), the volume of C is computed as n times the             volume of a voxel,     -   In order to define a common face F(C0,C1) shared by two adjacent         cells C0, C1 associated to respective Cell-ids id0 and id1, such         common face F(C0,C1) is defined as the set of all pairs of         adjacent voxels (V0,V1) such that V0 belongs to C0 while V1         belongs to C1. To retrieve F(C0,C1), one can proceed as follows:         -   An empty set F(C0,C1) of pair of voxels is created,         -   An empty set W0 of voxels is created         -   For each voxel V0 of C0, V0 is inserted into W0 if and only             if, at least, one of the neighbouring voxels of V0 is             associated to a Cell-id equal to the Cell-id id1 of C1,         -   For each voxel V0 of W0, and for each voxel V1 adjacent to             V0, a pair (V0,V1) is created and inserted into F(C0,C1) if             and only if V1 is holding a Cell-id equal to the Cell-id id1             of C1.     -    The above illustrates using the voxels of C0 as the starting         base of the method (creation of W0 from voxels of C0). It is of         course possible to start instead from C1, and build a set W1 in         order to build F(C0,C1).     -    It should be noticed that F(C0,C1) contains both the topology         and the geometry of the face shared by C0 and C1:         -   The topology of the face (i.e. in particular the identity of             the cell adjacent to the face) is encoded by the Cell-ids             stored in any pair of voxels (V0,V1) belonging to F(C0,C1)             which allows the two cells C0 and C1 to be retrieved as the             cells whose associated Cell-ids are those stored in V0 and             V1,         -   The geometry of the face is encoded by the set of common             facets shared by all the pairs of voxels (V0,V1) belonging             to F(C0,C1): the juxtaposition of these adjacent facets             allows the geometry of the entire face F(C0,C1) to be             reconstructed (the “facets” are defined as the elementary             faces of the voxels).     -   In order to determine a permeability tensor of a cell C         containing a given voxel Vc, it is possible to proceed as         follows:         -   It is assumed that a scalar permeability has been associated             to each voxel V. For that purpose, a GeoChron method can be             used (see e.g. Mallet, J. L., (2004)—Space-Time Mathematical             Framework for Sedimentary Geology. Math. Geol., V. 36, No.             1, pp. 1-32),         -   All voxels contained in the cell C are identified, thus             building a set Wc (see above),         -   A technique of upscaling can be used for computing an             equivalent permeability tensor for the cell C. For that             purpose it is possible to use e.g. methods described in             Mallet, J. L., (2004)—Space-Time Mathematical Framework for             Sedimentary Geology. Math. Geol., V. 36, No. 1, pp. 1-32,             and in Wen, X. H., Durlovsky, L. J. and Edwards, M. G.,             (2003)—Use of Border Region for Improved Permeability             Upscaling. Math. Geol., V. 35, No. 5, pp. 521-547. It is             specified that if it is required by the technique used to             perform the upscaling, it may be necessary to add to Wc a             subset of voxels contained in a neighbourhood of Wc.

Of course, the elementary operations described above can be combined. As examples, it is possible to e.g.:

-   -   Directly determine the cell to which a given point of the         geological domain belongs,     -   Directly determine the cells adjacent to a given cell,     -   Directly determine the volume of a cell     -   Directly determine the surface contact area between a given cell         and one of its adjacent cells,     -   Directly determine the permeability tensor for a given cell.

Such operations can be carried out using exclusively information memorized in association with the 3D screen (the last operation mentioned—determination of the permeability tensor—requiring in addition permeability values for each voxel). 

1. A method for building a three-dimensional (3D) cellular partition covering a 3D geological domain by defining the cells of the partition, wherein said method comprises the following steps: A “3D screen construction step” for constructing a 3D screen which is a 3D elementary partition covering the geological domain, said 3D screen being composed of a plurality of voxels (Vi) which are elementary volume elements, A “voxel painting step” for associating a cell identifier (Cell-id) to each voxel, A “cell definition step” for defining the cells of the geological domain, each cell of the geological domain being defined as the subset of voxels of the 3D screen associated to the same cell identifier, thereby allowing the definition of the cells of the geological domain without having to code the geometry and/or topology of said cells in said geological volume.
 2. A method according to claim 1 wherein the method further comprises associating to each voxel (Vi) an individual index information (Loc(Vi)) which characterizes the location of said voxel in the 3D screen and allows the retrieving of the voxels neighbouring said voxel in the 3D screen.
 3. A “parametric” method using a method according to claim 2, wherein said parametric method further comprises the following steps: Constructing three transfer functions (u=u(x,y,z), v=v(x,y,z), t=t(x,y,z)) defined from the geological domain to a parametric domain for associating each point (x,y,z) in the geological domain to an image point (u,v,t) in the parametric domain, Partitioning the parametric domain into parametric cells, Associating a respective cell identifier (Cell-id) to each parametric cell of the parametric domain, each parametric cell being individually associated to a respective cell identifier, After the 3D screen construction step, associating to each voxel of the 3D screen the cell identifier of the parametric cell in the parametric domain which contains the image point (u,v,t) of a point (x,y,z) contained in said voxel.
 4. A parametric method according to claim 3, wherein the parametric domain is a 3D domain and three transfer functions (u=u(x,y,z), v=v(x,y,z), t=t(x,y,z)) are respectively defined from the geological domain into one of the three respective dimensions (u,v,t) of the parametric domain.
 5. A parametric method according to claim 3, wherein said or one of said transfer function (t(x,y,z)) is defined so that the image of each horizon of the geological domain is a plane in the parametric domain.
 6. A parametric method according to claim 5, wherein the partitioning of the parametric domain into parametric cells is carried out in such a way that no edge or face of a parametric cell crosses a plane corresponding to an image of an horizon of the geologic domain.
 7. A parametric method according to claim 1, wherein said transfer functions (u=u(x,y,z), v=v(x,y,z), t=t(x,y,z)) are built according to the GeoChron model.
 8. A parametric method according to claim 7, wherein the building of said transfer functions implies the following operations: Covering the geological domain with a 3D mesh consisting of adjacent polyhedra whose edges never cross the fault surfaces of the geological domain, each of said polyhedra being a tetrahedron or the union of adjacent tetrahedra, Reserving memory slots for coordinate(s) (u,v,t) in the parametric domain associated to each vertex of each tetrahedron, Assuming that the transfer functions (u=u(x,y,z), v=v(x,y,z), t=t(x,y,z)) are linear inside each tetrahedron and that each transfer function is thus fully defined within said tetrahedron by its values at the vertices of said tetrahedron, Computing the values (t(x,y,z)) of a given transfer function (t) at the vertices of said tetrahedral of the geological domain, Computing the values (u(x,y,z), v(x,y,z)) of the transfer function(s) (u,v) other than said given transfer function (t), at the vertices of said tetrahedral of the geological domain.
 9. A parametric method according to claim 8, wherein each of said coordinate(s) (u,v,t) corresponds to a sampling value for a respective transfer function at the location (x,y,z) of a tetrahedron vertex and the computation of the transfer function(s) is carried out at the location (x,y,z) of each vertex of a tetrahedron in the parametric domain.
 10. A parametric method according to claim 8, wherein said computation of the values of said given transfer function (t) is made with a DSI method carried out on the basis of the values (t,) of said given transfer function at horizons (H(t,)) of the geological domain, said given transfer function being assumed to have a respective constant value on each given horizon of the geological domain.
 11. A parametric method according to claim 9, wherein said computation of the values of said given transfer function (t) is made at the location of each vertex of each tetrahedron with a DSI method carried out on the basis of the values (tj) of said given transfer function (t) at each horizon (H(ts)) of the geological domain.
 12. A parametric method according to claim 8, wherein said polyhedra are chosen as tetrahedra.
 13. A parametric method according to claim 12, wherein said computation of the values of said other transfer function(s) (u,v) is carried out through the following steps: Defining a reference surface in the geological domain, Computing said values of each of said other transfer function(s) (u,v) through a DSI method carried out on the basis of the values of said other transfer function at said reference surface of the geological domain.
 14. A parametric method according to claim 13, wherein said reference surface of the geological domain is chosen as an horizon of said geological domain.
 15. A parametric method according to claim 14, wherein said reference surface of the geological domain is chosen as an horizon which intersects a maximum number of faults blocks of the geological domain.
 16. A parametric method according to claim 15, wherein there are two said other transfer functions (ur,vr) defined on said reference surface and said reference surface is chosen so that on said reference surface the gradients of a first of said other transfer function (ur) are as much orthogonal as possible to the gradients of the second of said other transfer function (vr) and said gradients have as much as possible constant lengths.
 17. A parametric method according to claim 10, wherein said DSI method for computing the values of a transfer function on the basis of the values of said transfer function at the image of a horizon surface implies the following steps: Discretizing said horizon surface as a finite set of points considered as DSI Control Points, Computation of said transfer function at DSI Control Points on said horizon surface, For each DSI Control Point: Identification of the tetrahedron which contains the DSI Control Point, Formulation of a DSI constraint associated to the DSI Control Point, said DSI constraint corresponding to equating the barycentric mean of the values of said transfer function at the vertices of said tetrahedron to the known value of said transfer function at said DSI Control Point.
 18. A parametric method according to claim 17, wherein said DSI method for computing the values of a transfer function further comprises applying to the values of said transfer function at the vertices of the tetrahedra a smoothing condition linking the values of said transfer function at the vertices of neighbouring tetrahedra of the geological domain.
 19. A parametric method according to claim 18, wherein said smoothing condition is a condition of a minimal difference between the value of said transfer function at a given tetrahedron vertex location and an average value at neighbouring tetrahedron vertices in the geological domain.
 20. A parametric method according to claim 18 wherein said smoothing condition for any pair of adjacent tetrahedra (T1, T2) consists in specifying that the gradients of said transfer functions should be as equal as possible in said adjacent tetrahedra.
 21. A parametric method according to claim 18 wherein said smoothing condition for any pair of adjacent tetrahedron (T1, T2) consists in specifying that the respective projections, on the normal vector to the common face shared by said two adjacent tetrahedra, of the gradients of said transfer functions in said adjacent tetrahedra, should be equal.
 22. A parametric method according to claim 17, wherein the computation of said two other transfer functions (u,v) is carried out using the knowledge of the earlier computation of said given transfer function (t).
 23. A parametric method according to claim 22, wherein the method further comprises specifying that within each tetrahedron the gradient of each of said two other transfer functions (u,v) is orthogonal to the gradient of said given transfer function (t).
 24. A parametric method according to claim 22, wherein within each tetrahedron the method further comprises specifying that the gradients of said two other transfer functions (u,v) are constrained to be orthogonal between them, and the respective lengths of said gradients of said two other transfer functions (u,v) are constrainted to be substantially equal.
 25. A parametric method according to claim 1, wherein said point (x,y,z) contained in the voxel and whose image point is contained in the parametric cell having a Cell-id which is associated to the voxel is an arbitrary point of the voxel.
 26. A “cookie-cutter” method using a method according to claim 2, said cookie-cutter method further comprising the following steps: Associating to each geological layer of the geological domain a respective layer identifier (Layer-id), each layer being individually associated to a respective layer identifier, Partitioning a reference surface of the geological domain into polygons, Associating a respective polygon identifier (Polygon-id) to each polygon used to partition said reference surface, each polygon being individually associated to a respective polygon identifier, Defining a layer-polygon function which associates a value (F(L1P)) to each pair (L, P) formed of a Layer identifier and a Polygon identifier in such a way that each pair (L1P) is associated to a respective value (F(L1P)) generated by said layer-polygon function and consisting of a valid cell identifier, Computing for each voxel of the geological domain a voxel value of said layer-polygon function which is the output of said layer-polygon function computed on the basis of: the Layer identifier (L) of the layer containing said voxel, and the Polygon identifier (P) of the polygon of said reference surface which contains the projection of a reference point of said voxel over said reference surface, along a projection direction, Associating to each voxel a cell identifier (Cell-id) which is equal to the voxel value (F(L1P)) of the layer-polygon function computed at a reference point contained in the voxel.
 27. A cookie-cutter method according to claim 26, wherein the method comprises constructing a transfer function (t=t(x,y,z)) defined in the geological domain for associating each point (x,y,z) in the geological domain to a value t((x,y,z).
 28. A cookie-cutter method according to claim 27, wherein the building of said transfer function implies the following operations: Covering the geological domain with a 3D mesh consisting of adjacent polyhedra whose edges never cross the fault surfaces of the geological domain, each of said polyhedra being a tetrahedron or the union of adjacent tetrahedra, Reserving memory slots for the values of said transfer function (t(x,y,z)) at each vertex of each tetrahedron, Assuming that the transfer function (t=t(x,y,z)) is linear inside each tetrahedron and that said transfer function is thus fully defined within said tetrahedron by its values at the vertices of said tetrahedron, Computing the values (t(x,y,z)) of said transfer function (t) at the vertices of all tetrahedral of the geological domain.
 29. A cookie-cutter method according to claim 26, wherein said reference surface is an horizontal plane of the geological domain.
 30. A cookie-cutter method according to claim 29, wherein said projection direction is the vertical direction of the geological domain.
 31. A cookie-cutter method according to claim 30, wherein said reference point of each voxel is the centre of the voxel.
 32. A method according to claim 1, wherein the voxels are defined so that the volume of each voxel is significantly smaller than the volume of the cell of the geological domain which contains the voxel.
 33. A method according to claim 32, wherein the ratio of the volume of each voxel to the volume of the cell of the geological domain containing said voxel is at least 1:50.
 34. A method according to claim 1, wherein said method includes a post-processing of desired voxels in order to selectively modify the cell identifiers of said voxels after the cell definition step.
 35. A method according to claim 34, wherein said post-processing is applied to voxels primarily associated to the cell identifier of a first cell, and being adjacent to a border of said first cell with a second cell, and the new cell identifier associated to said voxel is the cell identifier of said second cell.
 36. A method according to claim 1, wherein after the cell definition step the method further comprises the retrieving of the voxels contained in a cell which also contains a given voxel, by exploring recursively from said given voxel through successive concentric rings all the voxels which are associated to the same cell identifier as said given voxel.
 37. A method according to claim 1, wherein after the cell definition step the method further comprises the identification of the cells adjacent to a cell containing a given voxel by retrieving the voxels which are associated to a cell identifier different from the cell identifier of said cell containing said given voxel and are also adjacent to at least one voxel of said cell containing said given voxel.
 38. A method according to claim 1, wherein after the cell definition step the method further comprises the computation of the volume of any given cell as being equal to the sum of the volumes of all the voxels associated to the same cell identifier as a given voxel of said given cell.
 39. A method according to claim 1, wherein the method further comprises after the cell definition step the construction for any given pair of adjacent cells (C1, C2) of the face F(C1, C2) separating said two adjacent cells, said face being built as the set of all pairs of adjacent voxels such that a first voxel of said pair belongs to a first of said two adjacent cells and the second voxel of said pair belongs to the second of said two adjacent cells.
 40. A method according to claim 1, wherein in association with each voxel the cell identifier associated to the voxel is memorized.
 41. A method according to claim 40, wherein in association with each voxel at least a parameter representative of a physical property of the geological volume corresponding to the voxel is also memorized.
 42. A method according to claim 41, wherein said at least one parameter representative of a physical property of the geological volume corresponding to the voxel is limited to one scalar permeability parameter.
 43. A method according to claim 42, wherein the method further comprises the computation of a tensor of permeabilities for each cell, said computation being deduced from scalar permeabilities associated to the voxels of said cell.
 44. A method according to claim 43, wherein the computation of a tensor of permeabilities of a cell is further based on scalar permeabilities associated to some voxels in the neighbourhood of said cell.
 45. A method according to claim 1, wherein said 3D screen consists of a plurality of adjacent hexahedral voxels aligned according to three sets of straight lines corresponding to the three dimensions of the geological domain.
 46. A method according to claim 45, wherein the lines of each set are regularly spaced and all voxels of the 3D screen are identical.
 47. A method according to claim 26, wherein the method includes a specific post-processing of cells associated to some singular geological surfaces within the geological domain by memorizing the equations F(x,y,z) of said singular surfaces and dividing each cell of the three-dimensional partition which is intersected by such singular surfaces into at least two subcells, each subcell being entirely located on a same side of said singular surface.
 48. A method according to claim 47, wherein the singular surfaces which are treated specifically include fault surfaces of the geological volume.
 49. A method according to claim 47, wherein said dividing of cells traversed by said singular surfaces include the following steps: For each traversed cell, defining subsets of voxels whose centres are all located on a same side of said singular surface, Assigning to each such subset of voxels a new cell identifier which is different from the cell identifiers assigned to other cells. Assigning to all voxels of each such subset of voxels a new cell identifier equal to the cell identifier assigned to the subset of voxels it belongs to.
 50. A method according to claim 1, wherein the method includes a specific post-processing of some specific volumes within the geological domain by defining the cells of said specific volumes with an “indirect” method which comprises the following steps for each of said specific volumes: Reseting the Cell-id of all voxels within said volume, Defining for each cell to be defined within said specific volume a “kernel”, each kernel being composed of one or more voxels, Associating to each kernel a Cell-id which has not been still assigned, Associating to each voxel within said specific volume the Cell-id of the kernel which is closest to said voxel, Defining each cell of said specific volume as the subset of voxels of the 3D screen associated to the same Cell-id.
 51. A method according to claim 50, wherein in order to obtain a given desired geometry for an interface between two cells which are to be defined within a said specific volume according to said indirect method, respective kernels of said two cells are defined as follows: A kernel is defined for a first of said two cells to be defined with at least a voxel of a first of said two cells, said voxel being chosen so as to be bordering or close to the desired interface, For each voxel of said kernel of a first cell to be defined (“first voxel”) and bordering or close to the desired interface, the voxel (“symmetrical voxel”) which is symmetrical of said first voxel with reference to the desired interface is identified, A kernel is defined for the second of said two cells to be defined, with the symmetrical voxel(s) thus defined.
 52. A method according to claim 50, wherein the kernels positions and the kernel density are defined so as to obtain a desired general configuration for the cells of said specific volumes.
 53. A method according to claim 52, wherein said specific volume is defined by a given distance around a well path of the geological volume and the kernels are defined so that within said specific volume the kernel density is higher in the vicinity of said well path.
 54. A method according to claim 52, wherein said specific volume is defined by a region of rapid variation of at least one physical property and the kernels are defined so that they are associated to a local density which is related to the intensity of heterogeneity of said physical property. 